- Skin Detection: Users can detect their skin using camera or pictures from gallery.
- Skin Conditions: Present the result based on picture input. The result including Condition, Confidence, Cause, Description, Severity, and Treatment.
- Recommendation: Recommend users to consult with professional when the skin conditions are severe enough to identify.
- Scikit-learn
- Tensorflow
- Keras
- Figma
- Android Studio
- Cloud Run
- Cloud Storage
- Cloud SQL
- Flask
Name | Bangkit ID | Learning Path |
---|---|---|
Alda Yunisa | M295DSY0006 | Machine Learning |
Keyza Asyadda Ramadhan M. | M181DSX4951 | Machine Learning |
M. Nur Hikmal Afandi | A360DSX3549 | Mobile Development |
Muhamad Dika Muldani | A360DKX4371 | Mobile Development |
Yasir Khairul Malik | C360DSX2643 | Cloud Computing |
Agivqy Nadif Santoso | C375DSX2654 | Cloud Computing |